mdasfaaruddinshareef

mdasfaaruddinshareef

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mdasfaaruddinshareef

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1.Which of the following statements regarding the financial reporting of custodial funds is not true?

Multiple Choice

GASB standards allow reporting on individual custodial funds in a government’s combining fiduciary fund financial statements.

Custodial funds are included in the statement of changes in fiduciary net position.

Custodial fund financial information is reported in a separate column of the government-wide statement of activities.

Custodial activities are reported only in the fiduciary fund financial statements.

2. Billing and collection of special assessments and payment of debt principal and interest on special assessment debt for which the city is not obligated in any manner should be recorded in a(an):

Multiple Choice

Custodial fund.

Debt service fund.

Special assessment fund.

Capital projects fund.

3. Which of these fiduciary fund types is allowed to aggregate its additions and deductions provided resources received are held for no more than three months?

Multiple Choice

Private-purpose trust funds.

Pension trust funds.

4. In financial reporting for proprietary funds and at the government-wide level, the employer's pension expense for the period is equal to:

Multiple Choice

The employer's contribution.

Annual required contribution.

The change in the net pension liability adjusted for various factors including amortization of amounts related to changes in pension assumptions and differences between projected and actual earnings.

All of these are correct.

Investment trust funds.

Custodial funds.

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Answer: Lists, Tuples, and Sets in Python Python provides several data structu...

Tuples vs Sets in Python

Lists, Tuples, and Sets

In Python, we have several data structures available for organizing and storing data. Three of the most common are:

 

Lists

Tuples

Sets

Key Differences

Tuples and Sets each have their unique properties that make them different from Lists and from each other.

 

Tuples and their Immutability

Tuples are ordered, immutable sequences of elements, which can be of any data type. Once a Tuple is created, it cannot be modified.

 

Here is an example of creating a Tuple:

 

my_tuple = (1, 'apple', 3.14)

Accessing Tuple Elements

To access elements in a Tuple, use indexing, just like Lists:

 

print(my_tuple[1]) # Output: 'apple'

Sets and their Uniqueness

Sets are unordered collections of unique elements. They can only contain unique elements, and duplicates are discarded. Sets are useful when you want to ensure that there are no duplicate items or when you need to quickly perform set operations like union, intersection, or difference.

 

Here is an example of creating a Set:

 

my_set = {1, 2, 3, 3, 3, 'apple', 'apple'}

print(my_set) # Output: {1, 2, 3, 'apple'}

In the example above, note that 'apple' is only printed once, and the number '3' only appears once as well.

 

Accessing Set Elements

To access elements in a Set, you need to convert it to a List or iterate over it, since sets are unordered collections and do not support indexing.

 

my_list = list(my_set)

print(my_list[0]) # Output (unpredictable): 1 or 2 or 3

Advantages of Tuples

Immutable: Cannot be changed after being created.

Efficient: Since Tuples cannot change, Python does not have to create a new object when an element is changed, making Tuples faster to access in certain cases.

Used in function arguments when you know the values should not be changed.

Advantages of Sets

Unique items only.

Efficient for set operations.

Fast membership test thanks to the hash table data structure used by sets.

Common Operations

| Operation | Lists | Tuples | Sets | | ------------ | -------- | ------ | ------ | | Index access | Support | Support | Not supported | | Append | Support | Not supported | Not supported | | Insert | Support | Not supported | Not supported | | Remove | Support | Not supported | Support through discarding duplicates | | Membership | Support | Support | Support |

 

When to use what?

Use Tuples when the data should not change, and you require fast access to elements.

Use Sets if you need to check for membership, quickly find intersections, unions, and differences, or if you need an unordered data structure with unique items.

Use Lists if the data may be changed, and you need consistent order.

 

Answer: Tuples vs Sets in Python In Python, tuples and sets are distinct data ...

In a 200 words or less explain the differences between SQL and PL/SQL? Why do we need SQL in a procedural language?

 

2. Respond to the following in 100 words-APA Format and Cite work

 

SA

 

SQL, is a structured query language that is used to retrieve and manipulate data as well as create and modify objects in a database. There are some capabilities for logic in SQL statements such as case and decode statements, but it is very limited. PL/SQL is a procedural language that has many more logic options available such as if-else statements and for loops. However, PL/SQL isn't very useful without SQL to retrieve and manipulate the data. For instance, you can use SQL to retrieve a value from a table and based on the value; use an if-else statement to choose to update a value in another table or not. PL/SQL also has a few other features that make it more efficient than just SQL alone. One being that PL/SQL transmits multiple SQL statements at one time in a block whereas SQL sends each statement separately thus saving bandwidth. Another is that PL/SQL that is stored in the database as a program unit is stored in executable form and is cached in memory making it more efficient to run (Casteel, 2013, pp. 3-4).

 

Reference:

 

Casteel, 1. (2013). Oracle 11g: PL/SQL. programming. Boston, MA: Course Technology, Cengage Learning.

 

3. Respond to the following in 100 words-APA Format and Cite work

 

Structured Query Language (SQL) is used primarily to conduct various actions within a database. These actions are typically categorized as data manipulation (DML), data definition (DDL). querying, and transaction control. DML include

s actions like

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